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Deep linking is different from mobile deep linking, which refers to directly linking to in-app content using a non-HTTP URI. Deep linking and HTTP [ edit ] The technology behind the World Wide Web, the Hypertext Transfer Protocol (HTTP), does not actually make any distinction between "deep" links and any other links—all links are functionally ...
Complexity of mobile deep linking and the need for a streamlined solution. The greatest benefit of mobile deep linking is the ability for marketers and app developers to bring users directly to a specific location within their app with a dedicated link. Just as deep links make the web more usable, mobile deep links do the same for mobile apps.
Inline linking. Inline linking (also known as hotlinking, leeching, piggy-backing, direct linking, offsite image grabs) is the use of a linked object, often an image, on one site by a web page belonging to a second site. One site is said to have an inline link to the other site where the object is located.
The Channel Tunnel ( French: Tunnel sous la Manche ), sometimes referred to informally as the Chunnel, [3] [4] is a 50.46-kilometre (31.35 mi) undersea railway tunnel, opened in 1994, that connects Folkestone ( Kent, England) with Coquelles ( Pas-de-Calais, France) beneath the English Channel at the Strait of Dover.
Contextual deep linking is a form of deep linking for mobile apps that links to specific content within an app, rather than a generic welcome screen for that app. Where basic mobile deep linking typically only allows you to deep link to content in apps you’ve already downloaded, contextual deep linking allows you to pass information through ...
The Arriba Soft case stood for the proposition that deep linking and actual reproduction in reduced-size copies (or preparation of reduced-size derivative works) were both excusable as fair use because the defendant's use of the work did not actually or potentially divert trade in the marketplace from the first work; and also it provided the ...
You can "deep link" to a section of an article (or other Wikipedia page), using a hash character (#), then the section's title, with underscore characters (_) replacing spaces.
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]
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